Optimal utility-based design of oncology clinical development programmes

该项目旨在开发一个比较肿瘤学临床试验设计序列的概率框架。它的主要目标是为当前和未来的肿瘤学患者提供一种提高临床开发方案效率的实用方法。该项目由三个部分组成，专注于开发与早期和晚期试验相关的临床试验终点的概率模型，以及最大限度地提高患者效用的生存统计数据的推导。将使用开发的模型比较替代临床开发策略的成功概率和预期效用。概率动态规划将被用来定义随着时间的推移数据变得可用时更新临床开发策略的机制。通过这个项目提供的独特的专业知识组合将为受资助的学生提供一套与在学术或工业研究和开发环境中发展职业生涯相关的理想技能。

This project aims at developing a probabilistic framework for comparing sequences of clinical trial designs in oncology. Its main objective is to provide a practical method for improving efficiency of clinical development programmes, on behalf of current and future oncology patients. This project consists of three parts, focussing in on the development of probabilistic models for clinical trial endpoints relevant to early and late phase trials and on the derivation of survival statistics maximising patient utility. The probability of success and expected utility of alternative clinical development strategies will be compared using the developed models. Probabilistic dynamic programming will be leveraged to define mechanisms for updating clinical development strategies as data become available over time. The unique combination of expertise made available through this project will provide the sponsored student with an ideal set of skills relevant to develop a career in academic or industrial research and development settings.